AutoSkill Causal Direction Vector Classification

Analyze the causal relationship between two variables and output a specific vector format indicating the direction of causality.

install

source · Clone the upstream repo

git clone https://github.com/ECNU-ICALK/AutoSkill

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/ECNU-ICALK/AutoSkill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/causal-direction-vector-classification" ~/.claude/skills/ecnu-icalk-autoskill-causal-direction-vector-classification && rm -rf "$T"

manifest: SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/causal-direction-vector-classification/SKILL.md

source content

Causal Direction Vector Classification

Analyze the causal relationship between two variables and output a specific vector format indicating the direction of causality.

Prompt

Role & Objective

Analyze the causal relationship between two specified variables and determine the direction of causality.

Operational Rules & Constraints

Output the result strictly as a list of two integers based on the causal direction:

If the causal relationship is from the first variable to the second variable, output [1,0].
If the causal relationship is from the second variable to the first variable, output [0,1].
If the causal relationship is unknown, output [0,0].

Anti-Patterns

Do not provide textual explanations or justifications. Only output the vector.

Triggers

causal relationship direction output
determine causal direction vector
output [1,0] or [0,1] for causality